Iterative loop of ML development

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Destrezas que aprenderás

Artificial Neural Network, Xgboost, Tensorflow, Tree Ensembles, Advice for Model Development


4.9 (2,000 calificaciones)

  • 5 stars
    93,40 %
  • 4 stars
    6 %
  • 3 stars
    0,30 %
  • 2 stars
    0,15 %
  • 1 star
    0,15 %


10 de mar. de 2023

I had to put extra effort on this one as it delivers broader knowledge on Neural Networks and Decision Trees. Really liked the Fairness, Bias and Ethics section, I'll keep those into consideration.


28 de feb. de 2023

Worth it! Can easily be complete within a month (even during a full, in-person, university class load). I used this to learn more about machine learning prior to conducting biomedical research.

De la lección

Advice for applying machine learning

This week you'll learn best practices for training and evaluating your learning algorithms to improve performance. This will cover a wide range of useful advice about the machine learning lifecycle, tuning your model, and also improving your training data.

Impartido por:

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    Andrew Ng


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    Eddy Shyu

    Curriculum Architect

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    Aarti Bagul

    Curriculum Engineer

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    Geoff Ladwig

    Curriculum Engineer

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